Compute and Storage Separated
cases when compute and storage layers separate work better since scaling the hyper-converged clusters
means upgrading compute and storage hardware parameters both simultaneously. Let’s clarify on that:
- Compute resources (CPU, RAM, etc)
- Storage resources (IOPS, capacity)
In hyper-converged systems each host is running compute and storage layers on the same hardware at the same time. Consequently, increasing of one dimension assumes increasing of the other one as well, and the problem here is that increasing of the second dimension may be not required. As the result the money is paid for the hardware resources that are not used.